Published on by Global Network Awards

Best Researcher Award

Chun-Ta Chen
Affiliation National Taiwan Normal University
Country Taiwan
Scopus ID 7501961999
Documents 46
Citations 613
h-index 14
Subject Area Robotics
Event Global Network Awards

Chun-Ta Chen

National Taiwan Normal University, Taiwan

Chun-Ta Chen, a researcher affiliated with National Taiwan Normal University whose academic work is associated with robotics and intelligent systems research. This profile summarizes institutional affiliation, publication activity, bibliometric indicators, research contributions, and academic impact within the context of recognition by the Global Network Awards. The article follows a neutral encyclopedic style and is based on publicly available scholarly information and recognized academic sources.[1]

Abstract

Chun-Ta Chen has established a scholarly profile in robotics research through sustained publication activity and measurable academic impact. With forty-six indexed documents, more than six hundred citations, and an h-index of fourteen, the researcher demonstrates notable visibility within the scientific literature. This article examines the research profile, academic contributions, publication record, and relevance of the research portfolio in relation to recognition through the Best Researcher Award program.[1]

Keywords

Robotics, Intelligent Systems, Autonomous Technologies, Artificial Intelligence, Human-Robot Interaction, Engineering Research, Scientific Publications, Academic Impact.

Introduction

Robotics has become one of the most influential interdisciplinary fields within modern science and engineering. Research in robotics contributes to automation, intelligent control, machine perception, autonomous navigation, human-machine interaction, and advanced manufacturing systems. Academic contributions in this domain support technological innovation while addressing practical challenges in industrial, educational, healthcare, and societal applications.[2][3]

Research Profile

The available bibliometric profile indicates that Chun-Ta Chen has developed a substantial research record indexed within Scopus. The documented publication count and citation performance suggest sustained engagement with scholarly communication and international research dissemination. Bibliometric indicators serve as quantitative measures that complement qualitative evaluations of originality, relevance, and scientific contribution.[1]

  • Affiliation: National Taiwan Normal University
  • Country: Taiwan
  • Primary Subject Area: Robotics
  • Scopus Indexed Documents: 46
  • Citation Count: 613
  • h-index: 14

Research Contributions

Research contributions within robotics commonly involve the development of intelligent algorithms, robotic control systems, autonomous decision-making frameworks, machine learning integration, sensor fusion technologies, and interactive robotic platforms. Such contributions advance the capabilities of robotic systems and support broader technological progress across academic and industrial environments. Through scholarly publications and research dissemination, contributions in robotics help shape future developments in intelligent automation and emerging technologies.[2][4]

Publications

The researcher’s publication portfolio demonstrates participation in peer-reviewed scholarly communication and the dissemination of research findings to the international scientific community. Publications constitute an essential component of academic achievement, facilitating validation, replication, and extension of scientific knowledge. The indexed publication record reflects a sustained commitment to research productivity and scholarly engagement.[1]

  1. Peer-reviewed journal and conference publications.
  2. Research outputs addressing robotics and intelligent systems.
  3. Contributions supporting technological advancement and scientific understanding.
  4. Internationally indexed scholarly works accessible through academic databases.

Research Impact

Research impact extends beyond publication volume and encompasses citation influence, knowledge transfer, interdisciplinary collaboration, educational value, and practical application. The citation record associated with the researcher’s scholarly outputs indicates engagement from the academic community and suggests that published findings have contributed to ongoing scientific discussions. Citation-based indicators, while not the sole measure of excellence, provide useful evidence of scholarly visibility and influence.[1]

Award Suitability

The Best Researcher Award recognizes individuals who demonstrate meaningful scholarly achievement through research productivity, scientific contribution, publication quality, and academic influence. The available metrics associated with Chun-Ta Chen indicate a mature research profile characterized by a substantial publication record, strong citation performance, and recognized engagement within the robotics research community. These characteristics align with common evaluation criteria employed by academic recognition programs and support consideration for distinction within the Global Network Awards framework.[1][5]

Conclusion

Chun-Ta Chen’s scholarly profile reflects significant engagement in robotics research through internationally indexed publications, measurable citation impact, and contributions to scientific advancement. The combination of publication productivity, research visibility, and demonstrated academic influence highlights the relevance of the research portfolio within contemporary robotics scholarship. The profile provides a strong academic foundation for consideration within competitive research recognition programs dedicated to scientific excellence and innovation.

References

  1. Scopus author details: Chun-Ta Chen, Author ID 7501961999. Scopus. https://www.scopus.com/authid/detail.uri?authorId=7501961999
  2. A robotic harvesting system for occluded cucumbers using F2SA-YOLOv8 and HVSC
    DOI:
    https://www.sciencedirect.com/science/article/pii/S0168169926002115
  3. Investigation and predictive multi-modeling of PVA/PVP-blended nanofiber diameter in electrospinning
    DOI:
    https://link.springer.com/article/10.1007/s00170-024-14948-z
  4. Assisting Standing Balance Recovery for Parkinson’s Patients with a Lower-Extremity Exoskeleton RobotDOI:
    https://www.mdpi.com/1424-8220/24/23/7498
  5. Hybrid Visual Servo Control of a Robotic Manipulator for Cherry Tomato Harvesting. https://www.mdpi.com/2076-0825/12/6/253
Chun-Ta Chen | Robotics | Best Researcher Award

You May Also Like